paper2code
Convert arXiv papers into executable code implementations.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 1.4k
- Source
- skill-github
Overview
paper2code is an Agent skill that transforms any arXiv paper into a code implementation with citation anchors. It parses the paper, audits ambiguities, generates code, and provides instructional notebooks to help developers quickly implement algorithms described in the paper. This skill is ideal for developers and researchers who need to turn academic papers into working code. It can be accessed by installing via the npx command and used within supported coding agents.
Capabilities
- ▪Parse arXiv papers and generate code
- ▪Anchor each line of code to specific sections of the paper
- ▪Audit ambiguities and flag unspecified choices
- ▪Generate configuration files with all hyperparameters
- ▪Provide instructional notebook linking paper and code
Use cases
Setup
npx skills add PrathamLearnsToCode/paper2code/skills/paper2code
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
No guarantee. The code matches the paper's description; if the paper contains errors or ambiguities, the code will flag them.
No guarantee. The code matches the paper's description; if the paper contains errors or ambiguities, the code will flag them.
No. data.py provides a dataset class skeleton and preprocessing instructions.
No. data.py provides a dataset class skeleton and preprocessing instructions.
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